Learning the cellular origins of cancer using single-cell chromatin landscapes
Mohamad Daniel Bairakdar, Bruno Giotti, Wooseung Lee, Paula Štancl, Elvin Wagenblast, Dolores Hambardzumyan, Paz P Polak, Rosa Karlić, Alexander M. Tsankov
This study uses single-cell chromatin accessibility data and machine learning to predict cancer cell origins, revealing new insights into tumor development and challenging existing views on cancer origins.
bioRxiv · Apr 6, 2025 · PreprintCancer Biology